斯里兰卡的社会经济复原力:自然灾害、贫困和福祉影响评估

Elliott Ash, Sergio Galletta, Tommaso Giommoni
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引用次数: 6

摘要

传统的风险评估使用资产损失作为衡量灾害严重程度的主要指标。本文提出了一个基于框架的扩展风险评估,该框架增加了社会经济复原力,并将福祉损失作为灾害严重程度的主要衡量标准。该风险评估采用了一个明确代表家庭层面恢复和重建过程的基于主体的模型,为了解斯里兰卡的灾害风险提供了新的视角。分析表明,经常性的洪水事件可以使成千上万的斯里兰卡人一下子陷入短暂的贫困,阻碍该国最近在消除贫困和共享繁荣方面取得的进展。作为衡量灾害影响的指标,贫困发生率和福祉损失有助于量化灾后快速支持和适应性社会保护系统等干预措施的效益。此类投资通过提高暴露人群和弱势群体的抵御能力,有效地减少了福祉损失。在全国范围内,平均而言,收入最低的五分之一只占总资产损失的7%,但占总福利损失的32%。据估计,斯里兰卡每年因河流洪水造成的平均福祉损失为1.19亿美元,是7800万美元资产损失的两倍多。据报道,资产损失高度集中在科伦坡地区,而福利损失则分布在全国各地。最后,本文基于斯里兰卡主要社会支持系统Samurdhi的注册情况,将社会经济弹性框架应用于前瞻性适应性社会保护系统的成本效益分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socioeconomic Resilience in Sri Lanka: Natural Disaster Poverty and Wellbeing Impact Assessment
Traditional risk assessments use asset losses as the main metric to measure the severity of a disaster. This paper proposes an expanded risk assessment based on a framework that adds socioeconomic resilience and uses wellbeing losses as the main measure of disaster severity. Using an agent-based model that represents explicitly the recovery and reconstruction process at the household level, this risk assessment provides new insights into disaster risks in Sri Lanka. The analysis indicates that regular flooding events can move tens of thousands of Sri Lankans into transient poverty at once, hindering the country's recent progress on poverty eradication and shared prosperity. As metrics of disaster impacts, poverty incidence and well-being losses facilitate quantification of the benefits of interventions like rapid post-disaster support and adaptive social protection systems. Such investments efficiently reduce wellbeing losses by making exposed and vulnerable populations more resilient. Nationally and on average, the bottom income quintile suffers only 7 percent of the total asset losses but 32 percent of the total wellbeing losses. Average annual wellbeing losses due to fluvial flooding in Sri Lanka are estimated at US$119 million per year, more than double the asset losses of US$78 million. Asset losses are reported to be highly concentrated in Colombo district, and wellbeing losses are more widely distributed throughout the country. Finally, the paper applies the socioeconomic resilience framework to a cost-benefit analysis of prospective adaptive social protection systems, based on enrollment in Samurdhi, the main social support system in Sri Lanka.
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